Parametric Insurance
for Gig Workers

AI-driven weekly micro-insurance that automatically protects India's delivery workforce against income loss from weather, social disruptions & platform volatility.

₹20-30K
Monthly Income Range
7.7M
Gig Workers in India
₹30-100
Weekly Premium Range
18.4
Avg Lost Days/Year

Worker Profile

Food Delivery Partner

🛵

Zomato / Swiggy Rider

Daily Hours
8-12
Monthly Income
₹20-30K
Income depends on: Orders/hour · Working hours · External conditions
⚠️

The Core Problem

If they cannot work → income = ₹0

Over 65% of surveyed workers cannot sustain basic living expenses if work is disrupted for more than 7 days. No formal safety net exists.


Live Risk Dashboard

Real-Time Disruption Monitoring

Loading weather data...
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Temperature °C
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Rainfall mm
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Humidity %
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Wind km/h

Disruption Matrix

Income Threat Categories

Three layers of disruption that directly impact gig worker earnings, each with measurable parameters for parametric triggers.

🌡️ Environmental
🏛️ Social
📱 Platform
DisruptionExampleParameterImpactSeverity
Extreme Heat42°C+ heatwaveTemperature, Heat IndexReduced working hours → ↓ deliveriesCritical
Heavy RainMonsoon burstsRainfall (mm/hr)Order cancellations + slower deliveryHigh
FloodsUrban floodingGovt alerts / rainfall thresholdZero deliveries in affected zoneCritical
PollutionAQI > 300AQI APIHealth discomfort → reduced shiftsMedium
DisruptionExampleParameterImpactSeverity
CurfewGovt restrictionZone lockdown flag100% income lossCritical
StrikesTransport strikeMobility index dropPartial/zero deliveryHigh
Zone ClosurePolitical rallyGeo-fenced restrictionNo pickup/dropHigh
DisruptionExampleParameterImpactSeverity
Demand CrashLow ordersOrders/hour ↓ 40%Lower earningsMedium
App DowntimeServer crashAPI failure logsNo ordersHigh
Supply ChainRestaurant shutdownActive restaurants ↓Earnings drop up to 50%Medium

Weekly Pricing Models

4 Insurance Frameworks

Click any model to see detailed breakdown and trigger conditions.

Model 1

Baseline + Event Guarantee

Minimum weekly income (₹2,500) if active hours met. Disruption hours count as worked.

Trigger: Any verified disruption event
Outcome: Income stability without forcing risky work
Example: Worker logged 40hrs but city flooded 2 days → full ₹2,500 guaranteed
Model 2

Micro-Insurance (5% Pool)

5% of weekly earnings → Resilience Pool (+ platform match). Automatic parametric payout.

Trigger: Weather/event threshold crossed
Outcome: Self-sustained parametric insurance fund
Example: ₹5,000 weekly → ₹250 pooled + ₹250 platform match = ₹500 cover/week
Model 3

Hazard Multiplier Pay

1.5× base pay during Hazard Days when heat/rain thresholds are crossed.

Trigger: Heat index > 42°C or rainfall > 50mm/hr
Outcome: Compensates risk instead of relying on surge pricing
Example: Normal ₹30/delivery → ₹45/delivery on hazard days
Model 4

Tiered Stability Contracts

Fixed weekly schedule → guaranteed income floor. Curfew/lockdown → 70% payout.

Trigger: Curfew / lockdown declaration
Outcome: Predictable weekly earnings
Example: ₹6,000/week contract → ₹4,200 guaranteed during lockdown

AI / ML Engine

Dynamic Risk Scoring & Premium Calculator

Adjust parameters to see how the AI dynamically prices weekly insurance premiums based on risk + income patterns.

Risk Parameters

Formula
Premium = Base + (Risk Score × Coverage × Income Variability)
AI/ML Models Used:
XGBoost — Income Prediction
Random Forest — Risk Prediction
Isolation Forest — Fraud Detection
Regression — Loss Estimation
Estimated Weekly Premium
₹60
Medium Risk
AI Risk Score: 0.50

Parametric Triggers

Automatic Payout Conditions

When real-time data crosses predefined thresholds, payouts are triggered automatically — no claims needed.

🌧️
Rainfall Trigger
Threshold: 50 mm/hr · Current: -- mm
Monitoring
🌡️
Temperature Trigger
Threshold: 42°C · Current: --°C
Monitoring
😷
AQI Trigger
Threshold: 300 · Current: --
Monitoring
🚫
Curfew / Zone Closure
Trigger: Government declaration · Status: None Active
Monitoring